Thomas Stricker

6.3k citations
63 papers · 1.8k · h-index 27

Impact in

    • Protease and Inhibitor Mechanisms
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Cell Adhesion Molecules Research

Papers in

Thomas Stricker

60 papers receiving 1.8k citations

Peers

Thomas Stricker
Comparison fields: 5 of 137
  • Cancer Research 445
  • Immunology and Allergy 153
  • Hematology 184
  • Oncology 410
  • Molecular Biology 801
Replace Koji Kishimoto with:
Koji Kishimoto Japan
Béatrice Nawrocki‐Raby France
Michael Haase Germany
Tsuyoshi Fukushima Japan
Salvatore Travali Italy
Marius Raica Romania
Francesc Alameda Spain
Y E Miller United States
Fabrizio Condorelli Italy
Jonathan H. Axelrod Israel
Thomas Stricker relative to Koji Kishimoto Japan Koji Kishimoto's profile →
Citations per field
00.5×2.7×
Koji Kishimoto · 1×
Citations per year

Countries citing papers authored by Thomas Stricker

Since Specialization
Citations

This map shows the geographic impact of Thomas Stricker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Stricker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Stricker more than expected).

Fields of papers citing papers by Thomas Stricker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Stricker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Stricker. The network helps show where Thomas Stricker may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas Stricker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Stricker Line = papers co-authored together Thomas Stricker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001174
2 1999137
3 2012103
4 200998
5 200397
6 202194
7 201778
8 201967
9 200164
10 200561
11 200158
12 201351
13 201746
14 201142
15 201641
16 202240
17 201937
18 201636
19 202034
20 201333

About Thomas Stricker

Thomas Stricker is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Hematology, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), Lung Cancer Treatments and Mutations (9 papers), Acute Myeloid Leukemia Research (6 papers), Cell Adhesion Molecules Research (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Ferroptosis and cancer prognosis (4 papers), Sarcoma Diagnosis and Treatment (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Cancer Research (445 citations), Immunology and Allergy (153 citations), Hematology (184 citations), Oncology (410 citations) and Molecular Biology (801 citations). Thomas Stricker has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include S. Kent Dickeson, Samuel A. Santoro, Jo Ann Dumin, William C. Parks, Maitrayee Bhattacharyya‐Pakrasi, Jill D. Roby, Christopher D. Brown, Vladislav Snitsarev, Alan R. Kay and Thomas Krausz. Their work appears in journals such as Blood, Cancer Research, The Oncologist, Journal of Clinical Oncology and Analytical and Bioanalytical Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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